Method, device, equipment, medium and procedure for safety monitoring of wheel-rail force of heavy-duty locomotive

Abstract

The present disclosure relates to a method, device, equipment, storage medium and computer program for safety monitoring of wheel-rail force of a heavy-load locomotive. The method comprises: using a pre-set data acquisition device to obtain operation process data of the heavy-load locomotive in real time, calculating the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data, calculating a series of suspension vertical forces according to the operation process data, and calculating a series of suspension lateral forces according to the operation process data, calculating the wheel-rail vertical forces on the left and right sides of the wheelset and the wheel-axle lateral forces according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the series of suspension vertical forces and the series of suspension lateral forces, calculating a safety evaluation index according to the wheel-rail vertical forces and the wheel-axle lateral forces on the left and right sides of the wheelset, and performing a real-time safety warning according to the safety evaluation index.

Description

Technical Field

[0001] The present disclosure relates to the technical field of locomotive safety monitoring, and in particular to a method, device, equipment, storage medium and computer program for safety monitoring of wheel-rail forces of a heavy-load locomotive. Background Art

[0002] In recent years, the length and axle weight of heavy-load trains have been increasing. However, while the long train and large axle weight design of heavy-load trains have greatly improved the railway freight capacity, it has also increased the risk of derailment during the service of heavy-load trains. As the main source of traction power, heavy-load locomotives, coupled with frequent traction and braking operations, interact particularly violently with the track. Therefore, real-time monitoring of the wheel-rail operation safety of heavy-load locomotives is of great significance to ensure the safe operation of heavy-load trains.

[0003] The safety assessment of traditional heavy-load locomotives is mainly based on the vibration level of each component, and rarely focuses on the wheel-rail interaction force and safety evaluation indicators during the service of heavy-load locomotives. The reason is that the real-time evaluation of the wheel-rail interaction force during the operation of the vehicle has great limitations. At present, there are two main ways to test the wheel-rail interaction force of heavy-load locomotives. One is to test the wheel-rail force when the vehicle passes by by sticking strain gauges on the rails, and the other is to use the force measuring wheelset to monitor the wheel-rail force in real time, but both of these test schemes have certain shortcomings. Although the first test method is simple to operate, it can only test the wheel-rail force when the vehicle passes by, and cannot evaluate the real-time wheel-rail interaction force. Although the second test method can test the wheel-rail interaction force in real time, it will damage the wheelset structure, has a high cost, and the test accuracy decreases with the increase of operating mileage. Summary of the invention

[0004] The present invention provides a method, device, equipment, storage medium and computer program for safely monitoring wheel-rail force of a heavy-load locomotive, so as to solve the problem of low timeliness of the existing heavy-load wheel-rail force monitoring method.

[0005] In a first aspect, the present disclosure provides a method for safely monitoring wheel-rail force of a heavy-load locomotive, comprising:

[0006] Use the pre-set data acquisition device to obtain the running process data of the heavy-load locomotive in real time;

[0007] Calculating the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data;

[0008] Calculating a series of suspension vertical forces according to the operation process data, and calculating a series of suspension lateral forces according to the operation process data;

[0009] Calculating the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force;

[0010] Calculating a safety evaluation index based on the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset;

[0011] A real-time safety warning is carried out according to the safety evaluation index.

[0012] In some embodiments, the calculating the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data includes:

[0013] The wheelset lateral vibration acceleration is calculated according to the left axle box lateral acceleration and the right axle box lateral acceleration contained in the running process data using the following formula:

[0014]

[0015] in, is the lateral vibration acceleration of the wheelset, is the lateral acceleration of the left axle box, is the lateral acceleration of the right axle box;

[0016] The wheelset vertical vibration acceleration is calculated using the following formula according to the left axle box vertical acceleration and the right axle box vertical acceleration contained in the running process data:

[0017]

[0018] in, is the vertical vibration acceleration of the wheelset, is the vertical acceleration of the left axle box, is the vertical acceleration of the right axle box.

[0019] In some embodiments, the step of calculating a series of suspension vertical forces according to the operation process data includes:

[0020] The left primary suspension vertical force and the right primary suspension vertical force included in the primary suspension vertical force are calculated using the following formula:

[0021]

[0022]

[0023] in, is the left primary suspension vertical force, is the vertical force of the right primary suspension, is the pre-obtained vertical stiffness coefficient of a series of suspensions, is the vertical relative displacement of the left primary suspension included in the operation process data, is the pre-obtained vertical damping coefficient of the suspension, is the vertical relative speed of the left primary suspension included in the operation process data, is the vertical relative displacement of the right primary suspension included in the operation process data, It is the vertical relative speed of the right primary suspension contained in the operation process data.

[0024] In some embodiments, the calculating a suspension lateral force according to the operation process data includes:

[0025] The left primary suspension lateral force and the right primary suspension lateral force included in the primary suspension lateral force are calculated using the following formula:

[0026]

[0027]

[0028] in, is the left primary suspension lateral force, is the right primary suspension lateral force, is the pre-obtained primary suspension lateral stiffness coefficient, is the lateral relative displacement of the left primary suspension included in the operation process data, is the pre-obtained primary suspension lateral damping coefficient, is the lateral relative speed of the left primary suspension included in the operation process data, is the relative lateral displacement of the right primary suspension included in the operation process data, It is the lateral relative speed of the right primary suspension contained in the operation process data.

[0029] In some embodiments, the calculating the wheel-rail vertical forces on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force comprises:

[0030] The wheel-rail vertical force is calculated using the following formula:

[0031]

[0032]

[0033] in, is the left wheel-rail vertical force included in the wheel-rail vertical forces on the left and right sides of the wheelset, is the right wheel-rail vertical force included in the wheel-rail vertical forces on the left and right sides of the wheelset, For the predetermined weight of heavy-load locomotive wheelset, is the vertical vibration acceleration of the wheelset, is the lateral vibration acceleration of the wheelset, is the vertical force of the left primary suspension, is the vertical force of the right primary suspension, is the left primary suspension lateral force, is the right primary suspension lateral force, is the distance from the wheel-rail contact point on one side to the primary suspension on the same side, is the distance from the wheel-rail contact point on one side to the primary suspension on the other side, is the distance from the wheel-rail contact point to the center of the wheel axle, is the acceleration due to gravity, is the wheel radius obtained in advance;

[0034] The axle lateral force is calculated using the following formula:

[0035]

[0036] in is the axle lateral force, For the predetermined weight of heavy-load locomotive wheelset, is the lateral vibration acceleration of the wheelset, is the left primary suspension lateral force, It is the lateral force of the right primary suspension.

[0037] In some embodiments, the real-time safety warning according to the safety evaluation index includes:

[0038] Obtaining the derailment coefficient and wheel load reduction rate included in the safety evaluation index;

[0039] If the derailment coefficient is less than the preset derailment coefficient threshold and the wheel weight reduction rate is less than the preset wheel weight reduction rate threshold, it is determined that the locomotive currently has no derailment risk;

[0040] If the derailment coefficient is greater than or equal to the derailment coefficient threshold or the wheel weight reduction rate is greater than or equal to the wheel weight reduction rate threshold, it is determined that the locomotive is currently at risk of derailment and a warning message is issued.

[0041] In a second aspect, the present disclosure provides a heavy-load locomotive wheel-rail force safety monitoring device, comprising:

[0042] A data acquisition module, used to acquire the running process data of the heavy-load locomotive in real time using a pre-set data acquisition device;

[0043] a suspension force calculation module, used to calculate the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data, calculate a series of suspension vertical forces according to the operation process data, and calculate a series of suspension lateral forces according to the operation process data;

[0044] A wheel-axle lateral force and wheel-rail vertical force calculation module, used for calculating the wheel-rail vertical force and the wheel-axle lateral force on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force;

[0045] The safety warning module is used to calculate the safety evaluation index according to the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset, and to issue a real-time safety warning according to the safety evaluation index.

[0046] In a third aspect, the present disclosure provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above aspects.

[0047] In a fourth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in the above aspects when executed by a processor.

[0048] In a fifth aspect, the present disclosure provides a computer program product, including a computer program, which implements the steps of the method described in the above aspects when executed by a processor.

[0049] The present disclosure provides a method, device, equipment, storage medium and computer program for monitoring the wheel-rail force safety of a heavy-loaded locomotive. The method uses a pre-set data acquisition device to obtain the running process data of the heavy-loaded locomotive in real time, calculates the vertical vibration acceleration of the wheelset and the lateral vibration acceleration of the wheelset according to the running process data, calculates the first suspension vertical force according to the running process data, and calculates the first suspension lateral force according to the running process data, calculates the wheel-rail vertical force on the left and right sides of the wheelset and the wheel-axle lateral force according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the first suspension vertical force and the first suspension lateral force, calculates the safety evaluation index according to the wheel-rail vertical force and the wheel-axle lateral force on the left and right sides of the wheelset, and performs real-time safety warning according to the safety evaluation index. The timeliness of the safety monitoring of the wheel-rail force of the heavy-loaded locomotive is improved; thereby solving the problem of low timeliness of the existing wheel-rail force monitoring method for heavy-loaded locomotives and improving the efficiency of safety monitoring of heavy-loaded trains. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0051] Figure 1 A schematic diagram of a process for safety monitoring of wheel-rail forces of a heavy-load locomotive provided in an embodiment of the present disclosure;

[0052] Figure 2 A functional module diagram of a heavy-load locomotive wheel-rail force safety monitoring device provided in an embodiment of the present disclosure.

[0053] In the drawings, the same reference numerals are used for the same components, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0054] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, and to fully understand and implement how the present disclosure applies technical means to solve technical problems and achieve the corresponding technical effects, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only embodiments of a part of the present disclosure, not all of the embodiments. The embodiments of the present disclosure and the various features in the embodiments can be combined with each other without conflict, and the technical solutions formed are all within the scope of protection of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present disclosure.

[0055] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0056] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0057] Embodiment 1

[0058] Figure 1 The following is a flow chart of a method for safely monitoring wheel-rail force of a heavy-duty locomotive provided in an embodiment of the present disclosure. Figure 1 As shown, a method for safely monitoring wheel-rail force of a heavy-load locomotive comprises:

[0059] S1. Use a pre-set data acquisition device to obtain the operation process data of the heavy-load locomotive in real time.

[0060] In the embodiment of the present invention, the acquisition device includes an acceleration sensor and a laser displacement sensor.

[0061] In the embodiment of the present invention, the operation process data includes the vertical acceleration of the axle box of the heavy-load locomotive, the lateral acceleration of the axle box, the relative displacement of the upper and lower connection points of the primary suspension, and the relative speed of the upper and lower connection points of the primary suspension.

[0062] In detail, the pre-set data acquisition device is used to obtain the operation process data of the heavy-loaded locomotive in real time, and the acceleration sensor is used to obtain the vertical acceleration and lateral acceleration of the axle box, and the laser displacement sensor is used to obtain the relative displacement of the upper and lower connection points of the primary suspension.

[0063] In the embodiment of the present invention, the operation process data of the heavy-load locomotive is acquired in real time by utilizing a pre-set data acquisition device, thereby improving the efficiency and accuracy of subsequent data calculation.

[0064] S2. Calculate the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data.

[0065] In the embodiment of the present invention, the wheelset vertical vibration acceleration refers to the vertical acceleration at the center position.

[0066] In the embodiment of the present invention, the wheelset lateral vibration acceleration refers to the lateral acceleration at the center position.

[0067] In the embodiment of the present invention, the center position vertical acceleration and the center position lateral acceleration refer to the lateral acceleration and vertical acceleration of the center position of the wheel axle of the heavy-load locomotive.

[0068] In the embodiment of the present invention, the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration are calculated based on the operation process data, and the center position lateral acceleration is obtained by calculating the average value of the lateral accelerations of the left and right axle boxes contained in the operation process data, and the center position vertical acceleration is obtained by calculating the average value of the vertical accelerations of the left and right axle boxes contained in the operation process data.

[0069] In the embodiment of the present invention, the calculating of the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data includes:

[0070] The wheelset lateral vibration acceleration is calculated according to the left axle box lateral acceleration and the right axle box lateral acceleration contained in the running process data using the following formula:

[0071]

[0072] in, is the lateral vibration acceleration of the wheelset, is the lateral acceleration of the left axle box, is the lateral acceleration of the right axle box;

[0073] The wheelset vertical vibration acceleration is calculated using the following formula according to the left axle box vertical acceleration and the right axle box vertical acceleration contained in the running process data:

[0074]

[0075] in, is the vertical vibration acceleration of the wheelset, is the vertical acceleration of the left axle box, is the vertical acceleration of the right axle box.

[0076] In the embodiment of the present invention, by calculating the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data, the efficiency and accuracy of the subsequent calculation of the wheel-rail vertical forces on the left and right sides of the wheelset are improved.

[0077] S3. Calculate a series of suspension vertical forces according to the operation process data, and calculate a series of suspension lateral forces according to the operation process data.

[0078] In the embodiment of the present invention, the first-order suspension vertical force mainly refers to the force borne by the locomotive suspension system in the vertical direction, while the first-order suspension lateral force refers to the horizontal force borne by the suspension system when the locomotive is traveling on a curve or subjected to a lateral force.

[0079] In an embodiment of the present invention, the step of calculating a series of suspension vertical forces according to the operation process data includes:

[0080] The left primary suspension vertical force and the right primary suspension vertical force included in the primary suspension vertical force are calculated using the following formula:

[0081]

[0082]

[0083] in, is the vertical force of the left primary suspension, is the vertical force of the right primary suspension, is the pre-obtained vertical stiffness coefficient of a series of suspensions, is the vertical relative displacement of the left primary suspension included in the operation process data, is the pre-obtained vertical damping coefficient of the suspension, is the vertical relative speed of the left primary suspension included in the operation process data, is the vertical relative displacement of the right primary suspension included in the operation process data, It is the vertical relative speed of the right primary suspension contained in the operation process data.

[0084] In an embodiment of the present invention, the calculating of the primary suspension lateral force according to the operation process data includes:

[0085] The left primary suspension lateral force and the right primary suspension lateral force included in the primary suspension lateral force are calculated using the following formula:

[0086]

[0087]

[0088] in, is the left primary suspension lateral force, is the right primary suspension lateral force, is the pre-obtained primary suspension lateral stiffness coefficient, is the lateral relative displacement of the left primary suspension included in the operation process data, is the pre-obtained primary suspension lateral damping coefficient, is the lateral relative speed of the left primary suspension included in the operation process data, is the relative lateral displacement of the right primary suspension included in the operation process data, It is the lateral relative speed of the right primary suspension contained in the operation process data.

[0089] In the embodiment of the present invention, the first-series suspension vertical stiffness coefficient, the first-series suspension vertical damping coefficient, the first-series suspension lateral stiffness coefficient, and the first-series suspension lateral damping coefficient are all calibration coefficients obtained by experiments conducted in advance.

[0090] In detail, the primary suspension vertical stiffness coefficient is an important parameter in the vehicle suspension system, and is a coefficient used to represent the magnitude of the force corresponding to the unit displacement of the suspension system under the action of a vertical load.

[0091] In detail, the primary suspension vertical damping coefficient is an important parameter that represents the damping characteristics of the suspension system during vertical movement. It reflects the magnitude of the suspension system's ability to attenuate vibrations. The determination of the primary suspension vertical damping coefficient is usually based on the damping ratio of the suspension system, which is the ratio of the restoring resistance to the compression resistance of the suspension shock absorber. For example, the external characteristics of the restoring stroke and the compression stroke are slightly different. These characteristics can be described by piecewise linearization and divided into low-speed, medium-speed and high-speed sections according to the vibration speed. In these different speed sections, different damping coefficients can be defined, such as the valve opening damping coefficient, the valve opening damping coefficient and the damping coefficient at the maximum valve opening. These coefficients reflect the shock absorber matching damping required for the locomotive under different driving frequency range conditions.

[0092] In the embodiment of the present invention, by calculating a series of suspension vertical forces and a series of suspension lateral forces according to various parameters included in the operation process data, the efficiency of subsequent calculation of wheel-rail interaction forces is improved.

[0093] S4. Calculate the wheel-rail vertical force on the left and right sides of the wheelset and the wheel axle lateral force according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force.

[0094] In the embodiment of the present invention, the primary suspension vertical force and the primary suspension lateral force are key parameters for evaluating the performance of the suspension system. The primary suspension vertical force mainly refers to the force borne by the suspension system in the vertical direction, which is related to the vehicle load, road conditions and the stiffness of the suspension system. The primary suspension lateral force refers to the horizontal force borne by the suspension system when the vehicle is driving in a curve or subjected to a lateral force, which affects the lateral stability and snaking motion of the vehicle.

[0095] In the embodiment of the present invention, the wheel-rail vertical forces on the left and right sides of the wheelset are calculated according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force, including:

[0096] The wheel-rail vertical force is calculated using the following formula:

[0097]

[0098]

[0099] in, is the left wheel-rail vertical force included in the wheel-rail vertical forces on the left and right sides of the wheelset, is the right wheel-rail vertical force included in the wheel-rail vertical forces on the left and right sides of the wheelset, For the predetermined weight of heavy-load locomotive wheelset, is the vertical vibration acceleration of the wheelset, is the lateral vibration acceleration of the wheelset, is the left primary suspension vertical force, is the vertical force of the right primary suspension, is the left primary suspension lateral force, is the right primary suspension lateral force, is the distance from the wheel-rail contact point on one side to the primary suspension on the same side, is the distance from the wheel-rail contact point on one side to the primary suspension on the other side, is the distance from the wheel-rail contact point to the center of the wheel axle, is the acceleration due to gravity, is the wheel radius obtained in advance;

[0100] The axle lateral force is calculated using the following formula:

[0101]

[0102] in is the axle lateral force, For the predetermined weight of heavy-load locomotive wheelset, is the lateral vibration acceleration of the wheelset, is the left primary suspension lateral force, It is the lateral force of the right primary suspension.

[0103] In the embodiment of the present invention, by calculating the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force, the efficiency and accuracy of the subsequent calculation of the safety evaluation index are improved.

[0104] S5. Calculate a safety evaluation index based on the wheel-rail vertical force and the wheel axle lateral force.

[0105] In the embodiment of the present invention, the safety index includes a derailment coefficient and a wheel load reduction rate.

[0106] In the embodiment of the present invention, the derailment coefficient and the wheel load reduction rate are important parameters for evaluating the safety of train operation, which reflect the influence of wheel-rail interaction force on train stability and are used to evaluate whether a heavy-loaded locomotive is likely to derail.

[0107] In the embodiment of the present invention, by calculating the safety evaluation index according to the wheel-rail vertical force and the wheel axle lateral force, the efficiency and accuracy of judging whether a heavy-loaded locomotive is safe are improved.

[0108] S6. Perform real-time safety warning according to the safety evaluation index.

[0109] In the embodiment of the present invention, the safety evaluation index includes a derailment coefficient and a wheel load reduction rate.

[0110] In detail, the derailment coefficient is an important safety indicator used to evaluate the derailment stability of a locomotive under the combined effects of lateral force and vertical force between the wheel and rail.

[0111] In detail, the wheel weight reduction rate is an important concept in the field of railway science and technology. It refers to the increase or decrease of wheel weight between wheelsets due to wheel vibration during high-speed operation of the vehicle. The wheel weight reduction rate is defined as the ratio of the wheel weight reduction of the wheel on the reduced-load side to the average static wheel weight of the wheel on the reduced-load and increased-load sides. This indicator is one of the important indicators for evaluating train operation safety and is usually used together with the derailment coefficient to determine the risk of derailment.

[0112] In the embodiment of the present invention, the real-time safety warning according to the safety evaluation index is to judge whether the train is safe by monitoring the difference between the safety evaluation index and a preset threshold.

[0113] In detail, when the derailment coefficient and the wheel weight reduction rate are both less than the preset coefficient threshold, it means that the heavy-loaded locomotive does not have the risk of derailment at this time. Therefore, it is necessary to continuously execute the steps of acquiring data for analysis, calculation and judgment to realize real-time monitoring of the safety status of the heavy-loaded locomotive and issue an early warning as soon as the abnormality is detected.

[0114] In the embodiment of the present invention, the real-time safety warning according to the safety evaluation index includes:

[0115] Obtaining the derailment coefficient and wheel load reduction rate included in the safety evaluation index;

[0116] If the derailment coefficient is less than the preset derailment coefficient threshold and the wheel weight reduction rate is less than the preset wheel weight reduction rate threshold, it is determined that the locomotive currently has no derailment risk;

[0117] If the derailment coefficient is greater than or equal to the derailment coefficient threshold or the wheel weight reduction rate is greater than or equal to the wheel weight reduction rate threshold, it is determined that the locomotive is currently at risk of derailment and a warning message is issued.

[0118] In the embodiment of the present invention, the preset coefficient thresholds include a derailment coefficient threshold and a wheel weight reduction rate threshold, which are threshold parameters used to measure whether a heavy-loaded locomotive has a derailment risk and need to be set in advance through experimental analysis.

[0119] In the embodiment of the present invention, when the derailment coefficient or the wheel weight reduction rate is greater than a preset coefficient threshold, it indicates that the heavy-loaded locomotive is at risk of derailment. Therefore, it is necessary to issue a safety warning to relevant personnel to ensure that they can take countermeasures in advance.

[0120] In the embodiment of the present invention, the safety warning may be to send a message to prompt the driver of the heavy-loaded locomotive to slow down.

[0121] In the embodiment of the present invention, by performing real-time safety warning according to the safety evaluation index, the efficiency of safety monitoring of heavy-load locomotives is improved.

[0122] Embodiment 2

[0123] Based on the above embodiments, this embodiment provides an application example.

[0124] This embodiment provides a method for safely monitoring wheel-rail force of a heavy-load locomotive, comprising:

[0125] The first step is to install acceleration sensors on the axle boxes on both sides of the wheelset to test the vertical acceleration of the axle boxes. and axle box lateral acceleration , calculate the vertical acceleration of the wheelset center position respectively and lateral acceleration , the specific formula is:

[0126]

[0127]

[0128] In the second step, laser displacement sensors are installed between the left and right frames and the axle boxes of the wheelset to test the vertical and lateral relative displacements of the upper and lower connection points of the primary suspension components, and further calculate the primary suspension vertical and lateral forces. The specific calculation formula for the primary suspension vertical force is: ; The calculation formula of the primary suspension lateral force is: .in is the comprehensive vertical stiffness of the primary suspension, It is the integrated vertical damping of the primary suspension. is the comprehensive lateral stiffness of the primary suspension. It is the integrated lateral damping of the primary suspension.

[0129] The third step is to use the vertical vibration acceleration of the wheelset , a series of vertical forces and primary suspension lateral force Solve the wheel-rail vertical force on the left and right sides of the wheelset and , the specific formula is:

[0130]

[0131]

[0132] The fourth step is to use the lateral vibration acceleration of the wheelset , primary suspension lateral force Solving for the lateral force on the axle , the specific formula is:

[0133] .

[0134] The fifth step is to solve the operation safety evaluation indicators based on wheel-rail force through the wheel-rail vertical force and the wheel-axle lateral force, including derailment coefficient and wheel weight reduction rate.

[0135] The sixth step is to use the on-board display and safety warning system to display the safety evaluation indicators of heavy-load locomotives in real time during their service and issue timely warnings when exceeding the standards, ultimately guiding the scientific operation of heavy-load trains.

[0136] The above embodiments describe the technical solutions of the present invention in detail. Obviously, the present invention is not limited to the described embodiments. Based on the embodiments of the present invention, people familiar with the technical field can also make various changes accordingly, but any changes that are equivalent or similar to the present invention belong to the scope of protection of the present invention.

[0137] Embodiment 3

[0138] like Figure 2 , which is a functional module diagram of a heavy-load locomotive wheel-rail force safety monitoring device provided in this embodiment.

[0139] The heavy-load locomotive wheel-rail force safety monitoring device 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the heavy-load locomotive wheel-rail force safety monitoring device 100 can include a data acquisition module 101, a suspension force calculation module 102, a wheel axle lateral force and wheel-rail vertical force calculation module 103 and a safety warning module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0140] In this embodiment, the functions of each module / unit are as follows:

[0141] The data acquisition module 101 is used to acquire the running process data of the heavy-load locomotive in real time using a pre-set data acquisition device;

[0142] The suspension force calculation module 102 is used to calculate the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data, calculate a series of suspension vertical forces according to the operation process data, and calculate a series of suspension lateral forces according to the operation process data;

[0143] The wheel-axle lateral force and wheel-rail vertical force calculation module 103 is used to calculate the wheel-rail vertical force and the wheel-axle lateral force on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force;

[0144] The safety warning module 104 is used to calculate the safety evaluation index according to the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset, and to issue a real-time safety warning according to the safety evaluation index.

[0145] Embodiment 4

[0146] Based on the above embodiments, this embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory. When the processor executes the computer program, the following can be achieved:

[0147] Use the pre-set data acquisition device to obtain the running process data of the heavy-load locomotive in real time;

[0148] Calculating the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data;

[0149] Calculating a series of suspension vertical forces according to the operation process data, and calculating a series of suspension lateral forces according to the operation process data;

[0150] Calculating the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force;

[0151] Calculating a safety evaluation index based on the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset;

[0152] A real-time safety warning is carried out according to the safety evaluation index.

[0153] In some implementations of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, the following can be achieved:

[0154] Use the pre-set data acquisition device to obtain the running process data of the heavy-load locomotive in real time;

[0155] Calculating the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data;

[0156] Calculating a series of suspension vertical forces according to the operation process data, and calculating a series of suspension lateral forces according to the operation process data;

[0157] Calculating the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force;

[0158] Calculating a safety evaluation index based on the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset;

[0159] A real-time safety warning is carried out according to the safety evaluation index.

[0160] In some implementations of this embodiment, a computer program product is provided, including a computer program, characterized in that when the computer program is executed by a processor, the steps of the method described in the above embodiment are implemented.

[0161] The processor may include, but is not limited to, one or more processors or microprocessors, etc. Each processor may be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components to execute the methods in the above embodiments.

[0162] Computer-readable storage media can be implemented by any type of volatile or non-volatile storage device or a combination thereof. Computer-readable storage media may include, but are not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (for example, hard disk, floppy disk, solid-state drive, mechanical hard disk, removable disk, Blu-ray disk, etc.).

[0163] The computer-readable storage medium may also store at least one computer executable program, such as a computer-readable instruction. The computer-readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The computer-readable storage medium may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device runs the computer-readable instructions stored on the computer-readable storage medium, the various methods described above may be performed.

[0164] In addition, the computer device may also include (but not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (eg, keyboard, mouse, speaker, etc.), etc.

[0165] The processor may communicate with external devices via an I / O bus via a wired or wireless network.

[0166] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product / computer program product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0167] In the embodiments provided in the present disclosure, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0168] It should be noted that in the present disclosure, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element limited by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0169] Although the embodiments disclosed in the present disclosure are as above, the above contents are only embodiments adopted for facilitating the understanding of the present disclosure and are not intended to limit the present disclosure. Any technician in the technical field to which the present disclosure belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present disclosure, but the scope of patent protection of the present disclosure shall still be subject to the scope defined in the attached claims.

Claims

1. A method for safely monitoring wheel-rail force of a heavy-load locomotive, characterized in that: include: Use the pre-set data acquisition device to obtain the running process data of the heavy-load locomotive in real time; Calculating the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data, including calculating the wheelset lateral vibration acceleration according to the left axle box lateral acceleration and the right axle box lateral acceleration contained in the operation process data using the following formula: in, is the lateral vibration acceleration of the wheelset, is the lateral acceleration of the left axle box, is the lateral acceleration of the right axle box; The wheelset vertical vibration acceleration is calculated using the following formula according to the left axle box vertical acceleration and the right axle box vertical acceleration contained in the running process data: in, is the vertical vibration acceleration of the wheelset, is the vertical acceleration of the left axle box, is the vertical acceleration of the right axle box; Calculating a series of suspension vertical forces according to the operation process data, and calculating a series of suspension lateral forces according to the operation process data, including: calculating a left series of suspension vertical forces and a right series of suspension vertical forces included in the series of suspension vertical forces using the following formula: in, is the vertical force of the left primary suspension, is the vertical force of the right primary suspension, is the pre-obtained vertical stiffness coefficient of a series of suspensions, is the vertical relative displacement of the left primary suspension included in the operation process data, is the pre-obtained vertical damping coefficient of the suspension, is the vertical relative speed of the left primary suspension included in the operation process data, is the vertical relative displacement of the right primary suspension included in the operation process data, is the vertical relative speed of the right primary suspension included in the operation process data; The left primary suspension lateral force and the right primary suspension lateral force included in the primary suspension lateral force are calculated using the following formula: in, is the left primary suspension lateral force, is the right primary suspension lateral force, is the pre-obtained primary suspension lateral stiffness coefficient, is the lateral relative displacement of the left primary suspension included in the operation process data, is the pre-obtained primary suspension lateral damping coefficient, is the lateral relative speed of the left primary suspension included in the operation process data, is the relative lateral displacement of the right primary suspension included in the operation process data, is the lateral relative speed of the right primary suspension included in the operation process data; Calculating the wheel-rail vertical force on the left and right sides of the wheelset and the wheel axle lateral force according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force, including: calculating the wheel-rail vertical force using the following formula: in, is the left wheel-rail vertical force included in the wheel-rail vertical forces on the left and right sides of the wheelset, is the right wheel-rail vertical force included in the wheel-rail vertical forces on the left and right sides of the wheelset, For the predetermined weight of heavy-load locomotive wheelset, is the vertical vibration acceleration of the wheelset, is the lateral vibration acceleration of the wheelset, is the vertical force of the left primary suspension, is the vertical force of the right primary suspension, is the left primary suspension lateral force, is the right primary suspension lateral force, is the distance from the wheel-rail contact point on one side to the primary suspension on the same side, is the distance from the wheel-rail contact point on one side to the primary suspension on the other side, is the distance from the wheel-rail contact point to the center of the wheel axle, is the acceleration due to gravity, is the wheel radius obtained in advance; The axle lateral force is calculated using the following formula: in is the axle lateral force, For the predetermined weight of heavy-load locomotive wheelset, is the lateral vibration acceleration of the wheelset, is the left primary suspension lateral force, is the right primary suspension lateral force; Calculating a safety evaluation index according to the wheel-rail vertical force and the wheel axle lateral force; Real-time safety warning is carried out according to the safety evaluation indicators, including: Obtaining the derailment coefficient and wheel load reduction rate included in the safety evaluation index; If the derailment coefficient is greater than or equal to the derailment coefficient threshold or the wheel weight reduction rate is greater than or equal to the wheel weight reduction rate threshold, it is determined that the locomotive is currently at risk of derailment and a warning message is issued.

2. The method according to claim 1, characterized in that The real-time safety warning according to the safety evaluation index also includes: If the derailment coefficient is less than a preset derailment coefficient threshold and the wheel weight reduction rate is less than a preset wheel weight reduction rate threshold, it is determined that the locomotive currently has no derailment risk.

3. A heavy-load locomotive wheel-rail force safety monitoring device for executing the method according to any one of claims 1 to 2, characterized in that: include: A data acquisition module, used to acquire the running process data of the heavy-load locomotive in real time using a pre-set data acquisition device; a suspension force calculation module, used to calculate the wheelset vertical vibration acceleration and the wheelset lateral vibration acceleration according to the operation process data, calculate a series of suspension vertical forces according to the operation process data, and calculate a series of suspension lateral forces according to the operation process data; A wheel-axle lateral force and wheel-rail vertical force calculation module, used for calculating the wheel-rail vertical force and the wheel-axle lateral force on the left and right sides of the wheelset according to the wheelset vertical vibration acceleration, the wheelset lateral vibration acceleration, the primary suspension vertical force and the primary suspension lateral force; The safety warning module is used to calculate the safety evaluation index according to the wheel-rail vertical force and the wheel axle lateral force on the left and right sides of the wheelset, and to make a real-time safety warning according to the safety evaluation index.

4. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 2.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

6. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

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